H. Kirkham, M. Albu, M. Engels, G. Frigo, A. Hedayatipour, D. Laverty, A. von Meier, A. Riepmeks, D. White, Z-M Yang
{"title":"Teaching Measurement Fundamentals","authors":"H. Kirkham, M. Albu, M. Engels, G. Frigo, A. Hedayatipour, D. Laverty, A. von Meier, A. Riepmeks, D. White, Z-M Yang","doi":"10.1109/RTUCON.2018.8659902","DOIUrl":null,"url":null,"abstract":"While it has always been true that measurements are made to guide decision-making, there is abundant evidence that not all measurement results are meaningful. We give examples of fully-functional, tested and trusted measurement systems producing nonsensical results. A common characteristic of such systems is they are designed without a clear understanding of the purpose or context of the measurements. To help ensure measurements are designed and used fit for the intended purpose, we propose that, in addition to the appropriate instrumentation, technology, and techniques, all engineering and science students be taught the basics of measurement theory and an overview of measurement infrastructure. We estimate that this can be accomplished in a single semester course. Essential and important elements of the syllabus are considered.","PeriodicalId":192943,"journal":{"name":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON.2018.8659902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
While it has always been true that measurements are made to guide decision-making, there is abundant evidence that not all measurement results are meaningful. We give examples of fully-functional, tested and trusted measurement systems producing nonsensical results. A common characteristic of such systems is they are designed without a clear understanding of the purpose or context of the measurements. To help ensure measurements are designed and used fit for the intended purpose, we propose that, in addition to the appropriate instrumentation, technology, and techniques, all engineering and science students be taught the basics of measurement theory and an overview of measurement infrastructure. We estimate that this can be accomplished in a single semester course. Essential and important elements of the syllabus are considered.